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ORCIDChayaporn Suphavilai
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2020 – today
- 2024
[j5]Rafael Peres da Silva
, Chayaporn Suphavilai, Niranjan Nagarajan:
MetageNN: a memory-efficient neural network taxonomic classifier robust to sequencing errors and missing genomes. BMC Bioinform. 25(1): 153 (2024)- 2023
- [j4]Hatairat Yingtaweesittikul, Jiaxi Wu, Aanchal Mongia, Rafael Peres, Karrie Ko, Niranjan Nagarajan, Chayaporn Suphavilai:
CREAMMIST: an integrative probabilistic database for cancer drug response prediction. Nucleic Acids Res. 51(D1): 1242-1248 (2023) - 2021
- [j3]Rafael Peres da Silva, Chayaporn Suphavilai, Niranjan Nagarajan:
TUGDA: task uncertainty guided domain adaptation for robust generalization of cancer drug response prediction from in vitro to in vivo settings. Bioinform. 37(Supplement): 76-83 (2021) - [c2]Rafael Peres da Silva, Chayaporn Suphavilai, Niranjan Nagarajan:
Task Uncertainty Loss Reduce Negative Transfer in Asymmetric Multi-task Feature Learning (Student Abstract). AAAI 2021: 15867-15868 - 2020
- [i1]Rafael Peres da Silva, Chayaporn Suphavilai, Niranjan Nagarajan:
Task Uncertainty Loss Reduce Negative Transfer in Asymmetric Multi-task Feature Learning. CoRR abs/2012.09575 (2020)
2010 – 2019
- 2018
- [j2]Chayaporn Suphavilai, Denis Bertrand, Niranjan Nagarajan:
Predicting Cancer Drug Response using a Recommender System. Bioinform. 34(22): 3907-3914 (2018) - 2015
- [j1]Zongliang Yue, Madhura M. Kshirsagar, Thanh Nguyen, Chayaporn Suphavilai, Michael T. Neylon, Liugen Zhu, Timothy Ratliff, Jake Yue Chen:
PAGER: constructing PAGs and new PAG-PAG relationships for network biology. Bioinform. 31(12): 250-257 (2015) - 2014
- [c1]Chayaporn Suphavilai, Liugen Zhu, Jake Y. Chen:
Constructing regulatory gene set networks to reveal novel insights into biological systems. ICCABS 2014: 1-2
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